After the analysis of scientific studies and evaluation of available research results, which all of them confirm the investors' financial management efficiency based on well timed management of investment decisions, main problem is identified -investor's choice of investment instruments under influence of different economic cycle periods. The purpose of article defined -to select the appropriate financial investment timing strategies according countries economical cycle stages, based on the case of Lithuania economical cycle. After the financial investment timing strategies analysis, equity shares and funds were assigned for economic growth period; meanwhile commodities, bonds and deposits in the banks were assigned for recession period. The results of Hodrick-Prescott filter application showed, that Lithuanian economical cycle continued from 2004 Q2 till 2010 Q1. These periods can be viewed as the effective timescales of financial investment and strategies defined can be used to reflect investment decisions according country's economical cycle. Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis.
The latest research confirms the necessity of investment timing strategies based on generated returns which keeps savings work more efficient. Earlier studies involved country's economical cycle and well timed investment decisions according to cycle period. But the main constraint was defined-the decision to purchase a security can be difficult since there are many attributes to consider and can include the necessary examination of these attributes, it also can be thought of as a multi-criteria decision-making problem. The purpose of this article is to demonstrate a created personal investment decisions model, which allows private investor to make effective investment decisions during different countries economical cycle periods. Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis. After the systemized literature studies, a model of evaluating efficiency of private investor's decisions was created and it consists of five stages: (1) investor behaviour analysis (survey), (2) the determination of the economic cycle stages (Hodrick-Prescott filter method), (3) private investor's behavioural performance assessment, (4) investment instruments selection (Data Envelopment Analysis Method-multi-criteria decision-making technique) and allocation of savings analysis, (5) the investor's behaviour in performance assessment. This model allows evaluating of efficiency of private investor's investment decisions during different country's economic cycle phases. Created model application is performed during different stages of Lithuania's economic cycle. Also there is a summary of adaptive model results, where financial return of investment was compared to effectiveness of average statistical Lithuanian's residents financial decisions (18 investment portfolios are summarized). It was found that created model could be relatively simply adapted to practice and also could empower private investor to make effective personal finance decisions on the influence of country's economic cycle. It should be noted, that studies show the amount of average Lithuanian's revenue loss on the impact of inefficient personal finance management decisions.
The new‐generation 5G mobile technology will likely have a business cycle of approximately 24–25 years. Investment timing in the adoption of new technologies is becoming crucial for science and technology‐based companies to remain competitive. Further investment timing depends on the companies’ current financial state. Mobile technology‐based companies have their own resource lifecycle in which technological changes are inevitable and depend on the uncertainty of the market.
Enterprises need to identify the optimal timing for technological change in order to increase competitiveness and increase the value of the company in an uncertain demanding environment. Investment decisions for adopting new technologies are costly and sometimes risky because technological investments are irreversible. To simulate the process, comprehensive technological adoption regarding investment timing was used in a management decision support model. The constructed model is structured as follows: 1) historical demand paths analysis; 2) application of statistical data validity tests; 3) the forecast of market parameters regarding data arrays using the geometric Brownian motion method, based on Monte Carlo simulation; 4) determination of technological life cycle using a Hodrick-Prescott filter; 5) technological adoption time-window determination; and 6) calculation of company net present values (NPV) based on change in free cash-flow. The model for mature 5G mobile markets, created and empirical tested, was performed in relation to 18 largest Europe mobile service providers, as potential decision makers operating across 33 countries. Results confirmed that selection of the technological investment time depends on companies' strategic financial decisions and financial state. The performed simulations revealed the consequence of 5G technology investment for investor roles, clustered according to financial data within a 5-year period (2010)(2011)(2012)(2013)(2014). The analyzed companies were assigned to roles of pioneers-innovators, pragmatics, followers, or laggards. Finally, it is assumed and argued that financial parameters indicate the willingness to adopt new technologies in a global technologically changing environment. JEL Classification Numbers: O16, O32, O33 DOI: http://dx
According to different authors, science and technology based companies could be considered as a crucial chain in transforming research and development investments into economic value. This could impact company's business performance and at the same time the development of country's economy. Moreover, according to today's empirical research, extremely fast innovation and technology development all over the world has a different effect on separate industries.There is a lot of academic literature where science and technology based company environment assessment issues are described, however, there is a lack of assessment methods and/or ratios/indicators, which show how the company is science, innovation and technology based and even how to identify such kind of company.This article is divided into structural parts, reflecting: R&D environment analysis based on the case of Lithuania; academic literature overview regarding science and technology based company's environment analysis; definition of S&T based company economic/financial assessment ratios.After the analysis, a list of ratios/indicators were presented, which empower to identify and/or asses such kind of company. Data availability was the core factor in these indicators creation processes.Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis.The type of the article: Theoretical article.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.